datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
autoencoder-paraphrase-dataset
Dataset Card for Machine Paraphrase Dataset (MPC)
Dataset Summary
The Autoencoder Paraphrase Corpus (APC) consists of ~200k examples of original, and paraphrases using three neural language models.
It uses three models (BERT, RoBERTa, Longformer) on three source texts (Wikipedia, arXiv, student theses).
The examples are aligned, i.e., we sample the same paragraphs for originals and paraphrased versions.
How to use it
You can load the dataset using the… See the full description on the dataset page: https://huggingface.co/datasets/jpwahle/autoencoder-paraphrase-dataset.icml26-repro-nonlinear-autoencoder-pca
Nonlinear autoencoder / PCA reproduction
This bundle reproduces the paper with the authors' pinned release
(SPOC-group/advantage_nonlinearity@4378017) plus an independent direct
population-gradient-flow audit.
run_official_amp_campaign.py: 96 finite-dimensional runs of the released
two-spike AMP at d=256/512 and eight sample ratios.
run_official_ae_campaign.py: 48 full-batch Adam runs of the released tied,
one-neuron ReLU/ELU autoencoder at d=512/1024, with exact PCA and 20,000… See the full description on the dataset page: https://huggingface.co/datasets/SabaPivot/icml26-repro-nonlinear-autoencoder-pca.AutoencoderRidgeDataSet